Telegram RegisterThe public register of Telegram
Telegram profile photo for 香港 GG 📝好評區

Channel

香港 GG 📝好評區

@GG_NewReport

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

9,552subscribers

+760 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002692626872
TypeChannel
Username@GG_NewReport
Description男人GG @GG_GGlist0 📝好評台: @GG_NewReport1 #香港 #九龍 #新界 #TG包膠 黃頁版GG: @GG_GGlist3 代出及查詢 @GGHKContact1 免責聲明:👇🏻👇🏻 t.me/GG_GGlistMenu/491 GGHK 平台 連結: t.me/addlist/xEtJCZ3l8S5iMjY1
CreatedBetween 1 April 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live12 November 2026
Measurements held30
Confirmed unchanged1 time, most recently 12 November 2026
On Telegramt.me/GG_NewReport

Topic

Adult — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 51% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

7,99110,3269,158.57 August 2026 — 8,792 subscribers8 August 2026 — 8,771 subscribers11 August 2026 — 8,640 subscribers14 August 2026 — 8,549 subscribers17 August 2026 — 8,421 subscribers20 August 2026 — 10,326 subscribers22 August 2026 — 10,242 subscribers23 August 2026 — 10,153 subscribers25 August 2026 — 10,090 subscribers26 August 2026 — 10,044 subscribers27 August 2026 — 10,007 subscribers28 August 2026 — 9,980 subscribers31 August 2026 — 9,840 subscribers3 September 2026 — 9,700 subscribers8 September 2026 — 9,615 subscribers13 September 2026 — 9,398 subscribers16 September 2026 — 9,197 subscribers25 September 2026 — 8,683 subscribers4 October 2026 — 7,991 subscribers10 October 2026 — 9,198 subscribers14 October 2026 — 9,071 subscribers17 October 2026 — 8,937 subscribers19 October 2026 — 8,901 subscribers22 October 2026 — 8,848 subscribers26 October 2026 — 8,731 subscribers29 October 2026 — 8,703 subscribers1 November 2026 — 9,640 subscribers5 November 2026 — 9,656 subscribers8 November 2026 — 9,654 subscribers12 November 2026 — 9,552 subscribers9,5527 August 202612 November 2026
30 measurements spanning 97 days, net +760. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 7,641–10,676 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)SubscribersChange
12 Nov 2026, 09:079,552-102
8 Nov 2026, 00:159,654-2
5 Nov 2026, 04:119,656+16
1 Nov 2026, 18:279,640+937
29 Oct 2026, 08:288,703-28
26 Oct 2026, 06:078,731-117
22 Oct 2026, 21:168,848-53
19 Oct 2026, 18:118,901-36
17 Oct 2026, 04:488,937-134
14 Oct 2026, 09:469,071-127
10 Oct 2026, 17:399,198+1,207
4 Oct 2026, 20:177,991-692
25 Sept 2026, 14:388,683-514
16 Sept 2026, 16:009,197-201
13 Sept 2026, 04:179,398-217
8 Sept 2026, 22:419,615-85
3 Sept 2026, 12:379,700-140
31 Aug 2026, 05:359,840-140
28 Aug 2026, 07:249,980-27
27 Aug 2026, 07:5310,007first reading

Engagement

650 posts held, back to 7 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 56 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.51%
avg views ÷ 9,552 subscribers
Avg views / post
144
291 posts measured
Reaction rate
0.516%
reactions ÷ views · ER floor
Posts in window
292
of 650 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 20 of 291 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 14 November 2026
Posts held650 (7 August 2026 – 14 November 2026)
Views total42,027
Reactions total17
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Nov 2026, 00:31 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
≈5,520
Videos
≈808
Links
≈2,150

Lifetime counters from Telegram’s own channel header, read 15 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
10m 37s
Average length
10s

Measured directly from 67 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

31 reactions across 31 posts, in 2 distinct kinds. The most used accounts for 96.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤3096.8%
👌13.23%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 37 of the 650 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 31 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 650 most recent posts we hold, published 7 August 2026 to 14 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

Telegram’s own ‘edited’ marker: 6 of 292 posts held from the last 30 days (2.05%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

14 Nov 2026, 16:09 UTC154 viewsread 15 November 2026

#hgreport 教室: RX 教室:@Relaxhotel 教練: 448灰姑娘 3) 家用: 1600 4) 囡囡樣貌評價 * : ? / 10 目測點數 (靚點/小點/中點) * : 評語 : 8.5,小點,和照片9分像,御姐感 5) 囡囡身材評價 * : ? / 10 波路 (A,B, etc.) &係唔係真波 (係/唔係) * : 評語 : 9,瘦底大波,真波,手感特别好。 6) 囡囡服務評價 * : ? / 10 (服務內容、技術 etc.) 車牌 (大中細碰碰車) * : 評語 : 10,妹妹服务特别赞,恰好有黑丝,就让妹妹穿黑丝服务。舌吻开始,然后亲胸,口活,吸蛋蛋。口活很好,没有齿感,舌头在龟头上打转。服务好后,就戴套进入。因为状态不好,怕射不出来,就一个姿势,几乎全程舌吻,妹子会主动抱着你🐍,灵魂车。 7) 小插曲/特別之處分享 : 在炮台山那边,房间其实会比九龙大很多。 8)…

14 Nov 2026, 15:50 UTC152 viewsread 15 November 2026

#hgreport 教室: RX 教室:@Relaxhotel 教練:448 灰姑娘 3) 家用: 1600 4) 囡囡樣貌評價 * : 9.5/ 10 目測點數 (𑃁點/小點/中點) * : 中點 評語 : 高顏值 明星樣 妝精緻 5) 囡囡身材評價 * : 9.5/ 10 波路 (A,B, etc.) &係唔係真波 (係/唔係) * : 真波C 評語 :全身走肥 無小腹 皮膚白滑無刺青 嬌小身材但是不會過瘦 6) 囡囡服務評價 * : 10/ 10 (服務內容、技術 etc.) 車牌 (大中細碰碰車) * : 靈車 評語 : 水中蕭 口技一流 挑逗舒服 服務態度一流加上技術很好 整體女友感很好 加上高顏值很舒服 值得試試看 7) 小插曲/特別之處分享 : 妹妹最後一天了 好好把握 8) 平日進食偏好(𑃁?服務?大波?etc.): 幼幼 清純甜美 9) Agent 安排評語 :快速確實態度好 …

14 Nov 2026, 15:49 UTC129 viewsread 15 November 2026
Photo

#SpaReport 教場:Warm/溫暖(灣仔) 教室 : @Warmspa99 教練:咖喱 相頭:9/10 身材:9.3/10 服務:9.5/10 咖喱超好评9.5/10分。高颜值超幼18岁靓女仔,服务态度超正且性格开朗健谈,完全没有隔膜,倒是很有初恋女友感。肤白貌美,虽然胸不大但腰身线条很性感,大白腿肉感很足适合腿控师兄。服务p1比较有力道,p2很温柔会咬耳朵吹气,从上舔到下,口技很棒,p3很会配合,最后👄💣出体验很好。有机会还会返食。 家用:1300+tips #代出報告 💋💋想了解更多:💋💋 @Gg_Gglist0

14 Nov 2026, 11:22 UTC129 viewsread 15 November 2026
Photo

#SpaReport #尖沙咀 #babyspa #嬰兒 教場:@baby8889996 教室:嬰兒 Baby Spa 教練:瑤瑤 相頭* : 8.5/ 10 報20-4,對相, 有學妹味 身材 * : 9/10 約16x 高,大c 至 D 形靚真波,一手渣唔哂,白虎,算白肉,小小baby fat,有前有後 服務 * : 8/10 Part1: 開門見倒幻幻,有可愛學妹feel,緊係入閘,解甲一對美乳彈出來,沖涼仔細,床上後面扒底按左陣,開始黎料,考倒中車牌。 Part2 :車車下,教練開始吹🍌,新做吹功有進步空間,輪到我食白虎靚一線鮑先,無味,硬了忍唔住叫佢上套 Part3:慢慢入,鮑窄,男上邊插邊車,轉企後入,邊啪邊渣大波,大波波前後搖搖下,最後轉女上,食大波洗面奶補下鈣先,大波波上下搖搖好好看,邊渣波忍唔住比佢騎爆了,休息一陣吹水沖後 交家用走人 總結:大波後生身材好,後生似學妹 預約安排:預約時間…

14 Nov 2026, 10:38 UTC120 viewsread 15 November 2026
Photo

#SpaReport #灣仔 #elf #elfspa #小精靈 #精靈 教場:@Elfspa 教室:Elf Spa 教練:Doris 相頭8.5/10,面尖尖,眼神夠誘惑 身材 8.5/10,唔會肥亦唔會太瘦 服務 9/10,零破冰全程冇停過 P1.按摩從來要求唔高,覺得舒服放鬆到就夠,估唔到呢個教練有啲功架,揼得有心機,識用力,手法好力度剛好 P2,一開始錫背同rpp,錫埋patpat同腳,服務好足,之後轉身就係咁用條脷奶勻全身,又錫lin用chokJJ,之後補下鈣,對波主動餵埋個咀度,任玩任啜,聽佢叫聲都知好享受,仲要面紅耳熱,話我條脷好勁,話好痕好想要,我就向下誰攻,掃幾掃原來已經濕曬,把聲叫得好淫,我又落去 啜乳頭,掃下路掃到我手指都濕咗,之後雙手輪流幫JJ按摩,用非常誘人既眼神望住我,JJ感受到不停既快感,狂射派彩 家用:1100 #代出報告 💋💋想了解更多:💋💋 t.me/GG_GGlist3

14 Nov 2026, 10:25 UTC108 viewsread 15 November 2026
Photo

#SpaReport #尖沙咀 #babyspa #嬰兒 教場:@baby8889996 教室:嬰兒 Baby Spa 教練:小耳朵 小耳朵琴日見到已經想試 相頭:8.78/10 (幻幻) 身材:8.6910 全走瘦底B波 服務:9/10 家用:11魚 非常健談60分鐘絕無冷場😂 沖涼慢慢摸下摸下,態度好好非常敬業 一路按一路吹水,轉身慢慢啜雙花 咀仔細細慢慢落去含龍頭 龍頭棍慢慢覺醒,穿上衣服 囡囡好細粒,要慢慢插入去先 女上先入半條,九淺一深慢慢轉波加速 Feel到濕潤後入曬全枝龍頭棍 驚囡囡頂唔順先轉男上「啪啪啪」 插到佢慾仙慾死合埋眼,攬實開大車 再轉後推試試,但係太瘦屌左陣都係男上舒服D,再轉返男上開啟Power fuck mode 結尾 拔劍後囡囡仲話出左好多🤭🤭🤭 完事後仲有時間傾到差唔多就閃人 #代出報告 💋💋想了解更多:💋💋 t.me/GG_GGlist3

14 Nov 2026, 09:57 UTC215 viewsread 15 November 2026

#hgreport 教室: RX 教室:@Relaxhotel 教練 : 灰姑娘 3) 家用: 1600 4) 囡囡樣貌評價 * : 9/ 10 目測點數 (靚點/小點/中點) * : 評語 : 小點,一開門就覺得挺對照片的,是真的漂亮,有化淡妝,打扮的挺精緻的 5) 囡囡身材評價 * : 8.5 / 10 波路 (A,B, etc.) &係唔係真波 (係/唔係) * : 係 評語 : 身材不錯,b-c,整體算偏瘦。雖然不是很高,但是比例很完美。像其他師兄所說,可能最近晒黑了一點點,偏健康膚色,皮膚滑溜。 6) 囡囡服務評價 * : 9.5 / 10 (服務內容、技術 etc.) 車牌 (大中細碰碰車) * : 大車 評語 : 前幾天本身想約,但因為在港島,所以不太方便,今天比較有空就立馬去了。約了今天頭鐘,一入門口感覺確實約對了,樣貌首先長的很對我口味。一問是福建女生,比較少見。 之後去沖身,沖幾下…

14 Nov 2026, 08:57 UTC190 viewsread 15 November 2026
Photo

#SpaReport #尖沙咀 教場 : @skyclub2025 教室:天之香會所 (尖沙咀) 教練:木瓜妹妹 學費:8魚 相頭:9/10 個樣好性感又狂野,皮膚滑溜溜,笑容好好,青春可人兒,似初戀情人嘅感覺。 身材:9/10 大波長腿,天然巨乳白滑彈性好,粉紅奶頭好難得,鮑魚仔漲卜卜水多多,patpat有肉,多汁水蜜桃臀 服務:9/10 主動車自動波,口技按摩手骨都一流,好好屌好好砌,服務無得頂 P1:一入門木瓜妹妹主動招呼我,帶我入房主動一路車一路幫我喚醒巨龍,之後雙雙除衫沖凉,洗乾淨即刻開吹,橫蕭直笛咁吹咗陣,有深喉吹,洗正面會奶雙花,洗背後會波推,亦都會幫你吹多陣,有大波夾腸,我伸手指插佢隻鮑魚仔,大家都玩得好能開心。 P2:上床細佬已經扯曬旗,近睇木瓜妹妹真係越睇佢越靚,我忍唔住攬住佢車,輕輕先碰下佢咀仔,碰左幾下,佢對手主動抱實我,慢慢升級到靈魂大車,開車技術真係堅,我哋互相伸脷入對方口中,舌戰濕吻…

14 Nov 2026, 08:19 UTC180 viewsread 15 November 2026

#SpaReport 教室:@VenusSph 教場:金星 教練:星兒 相頭:9/10,長髮靚女 身材:9/10 ,168cm左右,高挑走肥,無公仔 服務:9/10,十指漫遊,調情高手 Part 1,一開門,長而黑髮高挑靚女,樣子標誌,手腳幼,順利入閘。入到房,幫我寬衣解甲,拖住入去沖涼,就算沖涼過程已經攪到小弟弟爽丫丫。除咗洗哂全身外,溫柔小手,撚到我的小雀都變大鳥,之後沫身岀房慢慢玩。 Part 2: skip Part 3 ,一來就美容骨,十隻手指慢慢由上而下掃落去,爽丫丫😍,女女34C嘅胸部好柔軟,胸中漫遊,小咀仔錫晒背脊全身,之後轉身,主動輕車一會,再錫乳頭,女女手指工力深厚,手指keep住調情小弟弟,小弟弟一直挺硬,由袋袋到小弟弟都比佢洗哂,吹功一流,差D比佢吹爆,之後女女主動爬上黎,壓住我黎車,邊車邊模我小弟弟,模到小弟弟硬起來,她話想要我插入,女女都急不及待上套,先男下女上,比女女坐一陣,她妹妹隧道好窄…

14 Nov 2026, 07:33 UTC157 viewsread 15 November 2026

#SpaReport 教室:@GoodTimePhoto 教場:好時光 教練:玲玲 相頭: 對相8成 戴個美瞳 化白少少 灴身都靚女可愛 身材: 168-170 真大B 皮膚白滑 鮑少毛 腰幼 腳長 pat有肉實淨 服務: 主要我服務佢 食硬件 反應 同GFF 前略 直接跳去鮑 今日佢多少少分心 食鮑依然震 但表情冷靜 咁我就出渾身解數,整到佢又彈又叫 然後上套 上完先諗起無叫佢吹 唔緊要 一插個表情同反應已經滿足晒 男上時 係會feel到咩角度係迫實而佢有反應 有咩角度佢唔會太有feel 係學扑野既好對手😂😂 跟手轉埋側入就已經忍唔住 射晒 滿意一Q 落樓價: 1100 預約安排 (*如適用):快靚正 小插曲/特别分享 (*如適用): 健身喜好 (*如適用):服務 小只馬 幼腰 #代出報告 💋💋想了解更多:💋💋 @Gg_Gglist0

14 Nov 2026, 07:07 UTC110 viewsread 15 November 2026
Photo

#SpaReport #灣仔 #elf #elfspa #小精靈 #精靈 教場:@Elfspa 教室:Elf Spa 教練:諾諾 頭相:9/10 身材:9.5/10 服務:9.5/10 身材:入屋見嗰陣白色tee deep v,見到身材已經流口水,除晒衫後更加係有料之人,f波彈手,瘦底,黃金比例 皮膚:白滑 樣貌:完全冇撈味,第一眼覺得中上,熄咗燈會過得再靚啲 高度:唔太高,16x 年齡:目測22-24左右,少少輕熟感覺 過程和服務: 其實我都約得有啲倉猝,但佢夠爽快一拍即合,而且沖定涼等我,條女尚算健談,GFF得來又聲線溫柔,kiss得車得好投入,主動錫lin加環吹,係我上面擋住我視線,佢對雙峰彈下彈下又唔會太大而墮,手指一插,緊到好似破處feel,插插下多番啲水又好啲,由於佢對波真係好正,攬住黎指插特別好feel,極快完成任務,完事冇催鐘又坐低傾吓計 結論:個人而言覺得靚嘅如果化妝應該唔錯,body白滑又好波又彈手,極…

14 Nov 2026, 06:04 UTC233 viewsread 15 November 2026
Photo

#hgreport #Hg #TST 教室:@oceanhotel 教場:海洋 教練:rita 🇯🇵 相頭:10/10白白嫩嫩的 很甜美 身材:10/10大胸大屁股 腰很細 視覺效果拉滿 服務:10/9口活很好 大胸貼著我後背好有感覺 而且不偷懶 態度很好 part1: 第一次約rita進門看見rita的身材真的很棒笑嘻嘻的問我哥哥你熱嗎 要不要喝水 part2: rita 帶我進去洗澡 全身上下給我洗得很舒服 他從後面抱著我問我哥哥舒服嗎 那一刻我都有點忍不住馬上干了 洗了澡rita給我擦身上後面rita帶我去房間 rita用她的胸來蹭我身上好有感覺 實在不得不誇一下rita的口活 特別厲害 part3: 我忍不住了 rita就帶套在上面 看著她的那對粉粉嫩嫩的胸 視覺效果拉滿 rita女上很厲害 沒幾分鐘就給我干結書了 rita做完在我耳邊笑嘻嘻的問 哥哥舒服嗎 哈哈 太可愛了 做完跟rita聊了一會天 真是一個特別努力…

Showing the 12 most recent of 650 posts we hold for @GG_NewReport. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 4 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 12 November 2026 — this entry's latest reading, not the date you are reading this.

“香港 GG 📝好評區” (@GG_NewReport), 9,552 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/GG_NewReport.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.